Triple
T12003037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin County, Indiana |
E285713
|
entity |
| Predicate | enteredUnionAsCounty |
P102613
|
FINISHED |
| Object | 1820s |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1820s | Statement: [Martin County, Indiana, enteredUnionAsCounty, 1820s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredUnionAsCounty Context triple: [Martin County, Indiana, enteredUnionAsCounty, 1820s]
-
A.
isInUnionCounty
Indicates that one entity is located within, or falls under the jurisdiction of, Union County.
-
B.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
C.
locatedInUnion
Indicates that an entity is situated within or is a member of a specific union or collective grouping.
-
D.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
E.
isCornerCountyOf
Indicates that a county lies at or near the corner where two or more larger administrative regions (such as states or districts) meet.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d9038e39f881908c58c19802ba2eb0 |
completed | April 10, 2026, 2:05 p.m. |
Created at: April 8, 2026, 9:46 p.m.